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In this paper we present a strategy for correcting model deficiency using observational data.
The first step to correcting model misspecification is to detect the misspecification, and increasing N increase the power to detect some kinds of model misspecifications.
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Figure 13 Corrected model.
The predictive value of these four methods may be used to correct model error.
The corrected model was agreed well with their experimental data with no fitting parameters.
Hsu and Hsu (2012) corrected this model and showed that a significant difference would occur between the corrected model and the Wee et al.'s (2007) model.
The corrected model obtained a statistical significant result explaining 13.3% of the variance but with moderate effect.
The equations are corrected and the model selection was repeated based on the corrected model descriptions.
The ratios are calculated according to the efficiency corrected model [ 46].
Accordingly, the model fit statistics provided evidence to support further interpretation of path coefficients in the corrected model.
In contrast, the corrected model shifted 261 of "intermediate" patients into category "low", thus achieving accurate prediction.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com